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persist across participants, and retraining from scratch is often computationally infeasible at scale. In this project, you will develop the next generation of federated machine unlearning algorithms
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scales, while keeping the models computationally efficient. The research builds on an Eulerian two-phase modelling approach previously applied to backward erosion piping. You will investigate how
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of the Applications and Composition of the Jury Applications shall be subject to evaluation by a jury that shall follow the procedure established in articles 13 and 14 (by virtue of article 19) of Decree-Law no. 57
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Doctoral Researcher (f/m/d) position within the DFG-funded research project "Understanding methane bubble dynamics in aquatic sediments through a multiscale, multidisciplinary approach." Methane emissions
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-efficient drone platform components integrated with multi-modal sensors and nanogenerators’. Why is the proposed project relevant? Diverse drone platforms (ground/aerial/marine robotic vehicles
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within the broader project consortium. Capture the multi-scale nature of pipe formation while maintaining computational efficiency, including the exploration of adaptive mesh refinement strategies
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Production, Aalborg University, campus Aalborg, and is part of TRACE 2025: A Path to Resilience, Call 4: International Scaling of Proof-of-Concept Circular Economy Systems. Your work tasks In this PhD project
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integrated CO2 capture. The focus is to increase the fundamental understanding of CO2 absorption in gasification of biomass. The overall approach is lab-scale experiments in combination with Computational
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absorption in gasification of biomass. The overall approach is lab-scale experiments in combination with Computational Particle Fluid Dynamic (CPFD) model development. The person appointed will be affiliated
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to the 3 + 2 Bologna process) have received the grade of 10 (or equivalent) for the master's thesis according to the Danish 7-point grading scale (https://ufm.dk/en/education/the-danish-education-system